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Generic random-graph convergence APIs (DJ §§3–4) #93

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@cameronfreer

Undirected DJ gap — lowest-priority DJ issue (per review: much of its practical content is already subsumed by stronger specialized results in the repo). The paper's generic formulations, not exposed as standalone APIs:

  • weak convergence of random graph limits characterized by convergence of expected homomorphism densities;
  • convergence-in-probability versions;
  • convergence of randomly relabelled finite graphs to an infinite exchangeable graph.

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